S01-1 Using data and analytics to fully understand the barriers, and motivations to physical activity within a city setting

Abstract Issue/problem By 2050, 68% of the world's population will live in cities. With increasing urbanisation there is a need for policymakers to fully understand the current situation within their society when it comes to being physically active. Description of the problem In 2018, four global cities began a collaborative approach based on data and analytics to identify the barriers, and motivations to physical activity within a city setting. They needed to answer three questions: Who currently benefits the most from physical activity and why? What is the impact of existing policies and interventions? Where are the opportunities to maximize physical activity and its potential value? The challenge is to understand to what extent inactivity is due to supply constraints that can be addressed by making physical activity more attractive and accessible, vs. demand constraints-perceived lack of time or being afraid to participate. Results (effects/changes) Using population survey information and databases on the locations of programmes, facilities and green space, our analysis has proven what works and what doesn't in each of the cities. For example, ethnic groups with lower levels of physical activity show higher levels of motivation to be active than other groups. Suggesting that lack of interest is not the reason for lower participation. We also found clear evidence of the impact and importance of facility access. Across all cities, access to facilities is correlated with levels of activity - with more active areas on average having almost 2.5 times more facilities than less active areas. Lessons There are 3 learnings from this project: Data and insight -by using an evidence-based approach, policymakers have ensured that when resources and space are limited, they know how to create the highest value Collaboration - cities have led knowledge sharing through bi-lateral meetings, quarterly city calls and virtual working sessions to dissect and discuss comparative findings The value of physical activity - cities now understand the greater social impact of physical activity and are using this to build the case for further investment Main messages A collaboration using data and analytics and best-practice sharing has enabled policymakers to apply evidence-led decision-making and have tangible impact on the lives of their citizens.

Policymakers often lack the evidence to drive change and improve the lives of citizens through physical activity. This symposium will discuss how two unique global programs, 'Active Citizens Worldwide' (ACW) and 'Sport Impacts: Children' (SIC), have bridged the gap between academia and policymakers. Combining advanced data analytics, the latest in health, social and economic research and global benchmarking these programs have delivered unique insights on the drivers and outcomes of physical activity. ACW is a city-based programme formed through a collaboration of 4 cities: London, Stockholm, Singapore and Auckland. The project uses advanced analytics on large datasets covering entire cities to inform policymakers' efforts to enhance participation levels, and to calculate the monetary and nonmonetary value that sport and physical activity has on society. Previously unrelated datasets have been integrated to provide completely new analytical insights on the true drivers of the complex physical activity system including facility access, and mindsets and motivations.This is combined with systematic modelling of the broad range of outputs and outcomes of physical activity including health, social, and economic benefits.This standardisation in modelling approach and analysis has enabled multiple cities to compare, benchmark and learn from each other. ACW ultimately enables cities to understand what is working and what is not in their city, and thereby design policies with the best chance of improving their city's health, wealth and wellbeing. Using a similar approach, the SIC initiative is a unique crosssectorial collaboration between top national sports bodies, charities and academics in England. Through this partnership each organisation shared national participation, workforce and facility databases as well as recent primary research, which was analysed and modelled to give a holistic overview of the drivers and outcomes of childhood participation in sport. This analysis shows that the access to and benefits of sport and physical activity is not equal between different demographic groups. Preliminary findings have also indicated which type of sports and activities contribute the most value to children and their communities. This has led to the creation of a strong evidence base of the social and economic impact of childhood physical activity and sport in England, which is already being used by sport bodies and policymakers to re-evaluate their approaches to childhood participation. These programs illustrate how a collaborative approach using Providing policymakers with the evidence and practices to act and improve lives through physical activity Abstract citation ID: ckac093.002 S01-1 Using data and analytics to fully understand the barriers, and motivations to physical activity within a city setting Chris Scott 1 1 Communications, London Sport, London, United Kingdom Corresponding author: chris.scott@londonsport.co.uk Issue/problem By 2050, 68% of the world's population will live in cities. With increasing urbanisation there is a need for policymakers to fully understand the current situation within their society when it comes to being physically active. Description of the problem In 2018, four global cities began a collaborative approach based on data and analytics to identify the barriers, and motivations to physical activity within a city setting. They needed to answer three questions: Who currently benefits the most from physical activity and why? What is the impact of existing policies and interventions?
Where are the opportunities to maximize physical activity and its potential value?The challenge is to understand to what extent inactivity is due to supply constraints that can be addressed by making physical activity more attractive and accessible, vs. demand constraints-perceived lack of time or being afraid to participate.

Results (effects/changes)
Using population survey information and databases on the locations of programmes, facilities and green space, our analysis has proven what works and what doesn't in each of the cities. For example, ethnic groups with lower levels of physical activity show higher levels of motivation to be active than other groups. Suggesting that lack of interest is not the reason for lower participation. We also found clear evidence of the impact and importance of facility access. Across all cities, access to facilities is correlated with levels of activity -with more active areas on average having almost 2.5 times more facilities than less active areas.

Lessons
There are 3 learnings from this project: Data and insight -by using an evidence-based approach, policymakers have ensured that when resources and space are limited, they know how to create the highest value Collaboration -cities have led knowledge sharing through bi-lateral meetings, quarterly city calls and virtual working sessions to dissect and discuss comparative findings The value of physical activity -cities now understand the greater social impact of physical activity and are using this to build the case for further investment Main messages A collaboration using data and analytics and best-practice sharing has enabled policymakers to apply evidence-led decision-making and have tangible impact on the lives of their citizens. Keywords: Urbanisation, Data and insight, decision making, collaboration Abstract citation ID: ckac093.003 S01-2 Providing policymakers with the evidence of the true value of physical activity to individuals and communities Chris Scott 1 1 Communications, London Sport, London, United Kingdom Corresponding author: chris.scott@londonsport.co.uk

Background
With many countries and communities suffering from budget cuts, policymakers are coming under increasing pressure to provide the true value of public health interventions. Owing to the scale of conclusive findings over the past decade, we now have a robust evidence base regarding the impact of physical activity on individuals and communities. However, more work needs to be done to bridge the gap between policymakers and academics.

Methods
We conducted both a review of the leading academic research as well as primary analysis of existing open-access datasets to determine the impact of physical activity on the risk of health and social outcomes across the life course. This evidence base was then modelled with the latest figures on disease prevalence and its economic impact to quantify the social and economic value of physical activity.

Results
This methodology has currently been applied to a city population, as well as a national scale evaluation of the impact of individual sports on children alone. Results have shown that the average value of physical activity, across four cities around the world including London, Stockholm, Singapore and Auckland, is US$1900 per person in economic, health and social outcomes. In addition to this when looking specifically at the 4 million children who participate in team sports across England, preliminary findings estimate the total value to be £6.5Bn annually.

Conclusions
These initial findings are already being used by policymakers to make the case for additional investment and change the way they evaluate the outcome of their policies and programmes.
For example, Aktive Auckland has secured an additional NZ$120M for sport and recreation in the 10-year annual national budget after they used results which showed the annual contribution of physical activity was $ As a major risk factor for non-communicable diseases (NCDs), physical inactivity is a prominent challenge for public health. The purpose of this symposium is to present an overview of physical inactivity prevalence in Europe using data collected through international surveillance initiatives, while highlight-